Clients
Learn how our clients are gaining value from data and AI.
Bora Brasil Launches its AI Office on Claude, grounded in the group’s own data
Bora Brasil was formed from the merger of two family-owned haircare brands, Skala Brasil and Lola From Rio. AI adoption had started bottom-up: around 15 early users were already working with Claude, connected to their email, calendar, Teams and files. Leadership wanted to turn that momentum into a company-wide capability. That meant answers grounded in the group's own data, access that respects existing permissions, and a governed environment so that sensitive commercial information does not drift into unsanctioned AI tools.
Chancerygate How Chancerygate built four Claude-powered agents in two weeks, then 20 more on its own, with Artefact
Chancerygate is a London-headquartered industrial developer and asset manager with a 30-year track record in multi-let industrial and urban logistics property across the UK, Ireland, Spain and Portugal. It manages around £1.2 billion of income-producing and development assets, with around 30 development schemes and 25 asset management schemes serving roughly 700 tenants. In July 2026, Dream, the Canadian real estate asset manager, agreed to acquire Chancerygate, bringing it into a pan-European industrial platform of around 27 million sq ft across nine countries.
SERVIERFrom design to implementation: AI-powered role-playing for training field teams
To drive progress in these fields, Servier relies on its team of about 6,000 medical representatives to educate doctors and help them choose the right medication for the right patient. These representatives, who are often trained pharmacists or scientists, prioritize scientific support and information sharing over traditional promotion. This ability to build a relationship of trust with healthcare professionals is what truly sets Servier apart in the market. Establishing this relationship of trust with healthcare professionals is essential, yet doctors have increasingly less time for medical representatives, often limiting visits to a brief window of one to five minutes.
Accor x GetMint From SEO to GEO: Boosting Brand Visibility on AI Search Engines
Until recently, travel companies secured their online visibility by focusing on traditional search engine optimization (SEO). The rise of artificial intelligence is changing the game. Today, the new challenge is to ensure brands are recommended by generative AI engines. Accor, a global hospitality leader with 45 brands spanning luxury, economy, and lifestyle, and nearly 120 million loyalty members, recognized this shift as early as 2024. The group has partnered with GetMint, a company specializing in Generative Engine Optimization (GEO), to regain control over AI recommendation engines.
BpifranceHow Bpifrance deployed agentic AI across 500 employees with Artefact and Dust
Bpifrance, France's public investment bank, faced a challenge common to large regulated organisations: AI pilots that never reached production. Working with Artefact and the French no-code platform Dust, the bank built a structured path from experimentation to scale, running a 100 person platform evaluation, standing up a governance framework validated by Legal, Compliance, IT Security, and Procurement in under four weeks, and rolling out 500 licences across every business line. In under 12 months, over 1500 individual agents had emerged from within business teams. The result is a replicable model for sovereign, bottom-up AI adoption in regulated environments.
CARREFOURHow agentic AI accelerates store openings
Carrefour is taking its digital transformation to the next level with Copilot Expansion. Developed alongside Artefact, this conversational AI agent slashes store opening market research time from months to just two minutes, boosting revenue prediction accuracy by 15 points. Discover the 4 key lessons from this real-world deployment of Agentic AI in retail.
NEXANS A 2028 global data and AI strategy roadmap built on Databricks data foundations and governance
As part of its long-term business transformation, Nexans first launched the SHIFT program to improve performance across its activities. Building on this foundation, the Group initiated SHIFT AI to leverage data and artificial intelligence as core business performance drivers. To define its global AI strategy and industrialize data at scale, Nexans partnered with Artefact and Databricks to design a 2028 AI vision, establish a unified data platform, and deploy strong data governance.
FDJ United Scaling a Data Product Operating Model
La Française des Jeux (FDJ) was publicly listed at the end of 2019. The former French monopoly then became an international group open to competition. By 2025, the Group had become a leading player in the gaming industry, offering sports betting, lotteries, poker, online gaming, and more. With €3.8 billion in revenue and operations in 13 countries, FDJ United employs over 5,000 employees. The transformation required a complete overhaul of its data and AI organization. Artefact supported FDJ United in this journey.
VINCI Airports How VINCI Airports uses AI to optimize its operational, commercial, and financial performance with Google Cloud and Artefact
VINCI Airports manages 70 airports in 14 countries, welcomes 320 million passengers per year, and generates €4.5 billion in revenue. Faced with increasing operational and environmental constraints, the operator is turning to artificial intelligence to optimize its performance. A look back at a successful transformation with Benoît Forest, Director of Operations at VINCI Airports.
